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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:11, November, 2017

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(11): 478-482
DOI: https://doi.org/10.20546/ijcmas.2017.611.057


Identification of Best Combiners for Soybean Improvement at Chhattisgarh Plains
Preeti Painkra*, Sunil Kumar Nag and Ishu Khute
Department of Genetics and Plant Breeding, College of Agriculture, Indira Gandhi Krishi Vishwavidyalaya Raipur (C.G.) 492012, India
*Corresponding author
Abstract:

An investigation was carried out to assess the combining ability and nature of gene action in soybean using a half diallel mating design (without reciprocal crosses) with5 genotype of soybean namely, JS 97-52, MACS-1336, MAUS-504, MACS-1140 and MACS- 1340.The experiment was conducted in a randomized complete block design (RCBD) with 3 replications during kharif season of 2013-14 at AICRP on soybean, Department of Genetics and Plant Breeding, College of Agriculture, IGKV, Raipur Chhattisgarh. Observations were recorded on five genotypes and tenF1’s. General combining ability analysis revealed that MACS-1336 is best general combiner for days to 50% flowering, days to maturity, number of seeds per pod and 100 seed weight (g) whereas for plant height (cm), pod bearing length (cm), number of pod bearing nodes and number of pods per plant, JS-97-52 was found to be best general combiner.However, the desirable SCA effects were observed cross MAUS-504 x MACS-1336 for most of the characters viz., oil content (%), days to 50% flowering, 100 seed weight(g), protein content (%) and seed yield per plant(g). Gene action analysis revealed that there is a preponderance of both additive and non-additive genes for seed yield and its contributing characters. Hence, MACS-1336 and JS-97-52 along with cross combination MACS-504xMACS-1336 will be suitable especially for soybean improvement for Chhattisgarh plains.


Keywords: Combining ability, General combiner, Specific combiner.

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How to cite this article:

Preeti Painkra, Sunil Kumar Nag and Ishu khute. 2017. Identification of Best Combiners for Soybean Improvement at Chhattisgarh Plains.Int.J.Curr.Microbiol.App.Sci. 6(11): 478-482. doi: https://doi.org/10.20546/ijcmas.2017.611.057
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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